{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"

\\n

Opis stanowiska

\\n

Support the technical execution of migrating Zendesk and ERP platforms into the Microsoft Dynamics environment.
Design, implement, and maintain serverless solutions based on Azure Functions.
Build and manage integrations between systems within the Azure and Dynamics landscape.
Collaborate with the lead architect located in the US, occasionally adjusting working hours when necessary.
Deliver working technical solutions with a strong focus on implementation and problem-solving.
Contribute to data-related initiatives connected with Microsoft Fabric where applicable.

\\n

Wymagania

\\n

Advanced hands-on experience with Azure Functions and serverless development on Azure.
Practical experience with Microsoft Dynamics, including development, integrations, or migration projects.
Background in building integration pipelines and handling data processing across multiple systems.
Ability to work independently and communicate effectively with architects and business stakeholders.
English proficiency at B2+ level or higher for daily communication with the US-based team.
Familiarity with Microsoft Fabric or interest in working with this technology is considered an advantage.

\\n

","datePosted":"2026-03-10T09:18:34.663Z","validThrough":"2026-05-11T10:30:12.425Z","employmentType":"CONTRACTOR","identifier":{"@type":"PropertyValue","name":"JobHunt.pl","value":"remote-senior-data-engineer-click-it-group-ad7c93"},"experienceRequirements":"Powyżej 4 lat doświadczenia (Senior)","hiringOrganization":{"@type":"Organization","name":"Click IT Group","logo":"https://cdn.solid.jobs/companies/logos/fe1fd9d12a0344358abdf8b1805c5268.jpg"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"PL"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warszawa","addressCountry":"PL"}},"baseSalary":{"@type":"MonetaryAmount","currency":"PLN","value":{"@type":"QuantitativeValue","minValue":"21800","maxValue":"25200","unitText":"MONTH"}}}